Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features

Background: Early differentiation of neoplastic and non-neoplastic intracerebral hemorrhage (ICH) can be difficult in initial radiological evaluation, especially for extensive ICHs. The aim of this study was to evaluate the potential of a machine learning-based prediction of etiology for acute ICHs...

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Detalles Bibliográficos
Autores principales: Nawabi, Jawed, Kniep, Helge, Kabiri, Reza, Broocks, Gabriel, Faizy, Tobias D., Thaler, Christian, Schön, Gerhard, Fiehler, Jens, Hanning, Uta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232581/
https://www.ncbi.nlm.nih.gov/pubmed/32477233
http://dx.doi.org/10.3389/fneur.2020.00285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232581/
https://www.ncbi.nlm.nih.gov/pubmed/32477233
http://dx.doi.org/10.3389/fneur.2020.00285

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